.png){kind=icon}
返回
A lightweight heterogeneous network clustering algorithm based on edge computing for 5G
.png){kind=icon}
PRE
AI
DOI：10.1007/s11276-019-02144-x.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Edge computing is a promising paradigm to provide computing capabilities in close proximity to mobile devices in fifth-generation (5G) networks. However, most wireless sensor devices connected to the 5G network have limited battery life, and how to effectively reduce energy consumption and extend the network life cycle has become one of the hot problems in current research. Due to this motivation, an improved Stable Election Protocol (SEP), named Lightweight in Edge Computing-SEP (LEC-SEP) is proposed. LEC-SEP algorithm considers the heterogeneity of the initial energy of the nodes and the cluster head election is determined by the probability that the relative level of the initial energy and the residual energy. According to the influence of the number of cluster heads, the optimal clustering number is calculated to balance the network traffic. At the same time, the location of the base station is redefined to facilitate adding the edge server, which can store the data aggregated and fused by base station, providing powerful and real-time storage and computing power to effectively offload the pressure of the central cloud. The simulation results show that the energy consumption is well distributed in the proposed algorithm, and LEC-SEP algorithm achieves a longer stabilization period in the network than other typical clustering algorithms. The network life of LEC-SEP improved by 8.17% and 20.34% in comparison with the P-SEP algorithm and the IDEEC algorithm respectively.
Keyword:
Clustering algorithms
Edge computing
Energy efficiency
Internet of Things
5G
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.1
论文数:
308
被引数:
5.4K
机构
引用论文
分享收藏SEECH: Scalable Energy Efficient Clustering Hierarchy Protocol in Wireless Sensor Networks.png)
IEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏Remains of Hominidae from Pliocene/Pleistocene Formations in the Lower Omo Basin, EthiopiaNature
NatureIF0
PREAI
分享收藏分享收藏
查看更多内容